benchmark-model-test

Automate LLM benchmarking by using this Skill to test multiple large language models against identical prompts. It dynamically reads model names from Excel headers and automatically writes the comparison results back to the workbook.

To test multiple models in Excel, structure prompts in column D and attachments in column G. The Skill maps models from headers, sends prompts via Playwright automation, and writes aggregated results per model.

The model benchmarking automation supports optional attachments and login. It handles per-row prompt testing and dynamically configures tests based on the models mapped from the Excel headers.

You can use Playwright for end-to-end LLM performance testing through this Skill. It automates opening the platform, creating conversations, selecting models, uploading attachments, and collecting benchmark data.

The best way to compare LLM performance is using Excel-based test sheets. This Skill automates multi-model benchmarking by reading prompts and headers, executing tests, and writing results back for objective comparison.

You do not need to manually select models for batch benchmarking. The Skill dynamically maps models from the Excel headers to configure per-model tests automatically, enabling end-to-end performance evaluation.